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How Successful Data Scientists Land Tech Jobs in 2024 — A 3-Step Winning Strategy to Job-Hunting | by Khouloud El Alami | Dec, 2023

A Spotify Data Scientist’s guide to developing a job-hunting strategy that can get you offers A snapshot of the survey I conducted on Blind — Image by AuthorI recently ran a survey among data scientists and found out this shocking number — 86% are blindly sending out job applications, and hoping for the best. Hoping…

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This AI Research from The University of Hong Kong and Alibaba Group Unveils ‘LivePhoto’: A Leap Forward in Text-Controlled Video Animation and Motion Intensity Customization

The researchers from The University of Hong Kong, Alibaba Group, and Ant Group developed LivePhoto to solve the issue of temporal motions being overlooked in current text-to-video generation studies. LivePhoto enables users to animate images with text descriptions while reducing ambiguity in text-to-motion mapping. The study addresses limitations in existing image animation methods by presenting…

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Radial Treemaps: Extending Treemaps to Circular Mappings | by Nick Gerend | Dec, 2023

Learn about Radial Treemaps and create your own with Python Radial-Treemap by Nick GerendThe Treemap Concept The “Treemap” was introduced by Ben Shneiderman at the University of Maryland in the early 1990s¹. Simply put, it’s an efficient way of displaying hierarchical data as a set of nested rectangles. Although the concept is simple, the arrangement…

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What is the procurement process?

The inherent nature of running a business demands you turn even the most banal, everyday actions into process- or systems-based frameworks to manage compliance, prevent fraud, and keep your ship running smoothly. To that end, though you’re used to swiping a card or handing over cash when you need to buy goods or services at…

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Columbia and Google Researchers Introduce ‘ReconFusion’: An Artificial Intelligence Method for Efficient 3D Reconstruction with Minimal Images

How can high-quality 3D reconstructions be achieved from a limited number of images? A team of researchers from Columbia University and Google introduced ‘ReconFusion,’ An artificial intelligence method that solves the problem of limited input views when reconstructing 3D scenes from images. It addresses issues such as artifacts and catastrophic failures in reconstruction, providing robustness…

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Benchmarking the next generation of never-ending learners

Notes References [1] John M Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ron-neberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Zídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A A Kohl, Andy Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David A. Reiman, Ellen Clancy, Michal Zielinski,…

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Convenient Reinforcement Learning With Stable-Baselines3 | by Dr. Robert Kübler | Dec, 2023

Reinforcement learning without the boilerplate code Created by the author with Leonardo Ai.In my previous articles about reinforcement learning, I have shown you how to implement (deep) Q-learning using nothing but a bit of numpy and TensorFlow. While this was an important step towards understanding how these algorithms work under the hood, the code tended…

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